The Application of a Multidimensional Prediction Model in the Recurrence of Female Pelvic Organ Prolapse after Surgery

Abstract

Objective. The relationship between multiple indicators of women and postoperative recurrence of pelvic organ prolapse was analyzed to establish a model for predicting postoperative recurrence of female pelvic organ prolapse. Methods. Three hundred patients with pelvic organ prolapse who underwent pelvic organ prolapse surgery at our hospital were monitored for 1-2 years to determine their prognosis. Whether there was a postoperative recurrence, they were divided into two groups. We collected the relevant data from the two groups of patients before and after surgery. Through single factor and logistic multivariate analysis, we selected the risk factors that may affect the recurrence of patients to construct a prediction model. We verified the identification ability, proofreading ability, and clinical applicability of the model. Results. Eighty-four patients with pelvic organ prolapse who had postoperative recurrence were assigned to the recurrence group, and 216 patients were included in the nonrecurrence group. Based on the logistic multivariate analysis results, we constructed a nomogram model containing 5 dimensions of age, BMI, degree of prolapse, pubic fissure, and serum calcium to predict postoperative recurrence. The tests revealed that the model had an excellent identification ability ( AUC = 0.910 ), and the expected recurrence rate was significantly in agreement with the actual recurrence rate ( U = − 0.007 , Brief = 0.087 ). The Hosmer-Lemeshow goodness-of-fit test demonstrated that the model had good calibration ( c 2 = 29.352 , P = 0.522 ), and the decision curve showed that the threshold probability was in the range of ~12% to 100%, having a high net benefit value. Conclusion. Based on the present study findings, we concluded that the constructed nomogram model has suitable identification, calibration, and clinical applicability.

Knowledge mapping and visualization analysis of pelvic organ prolapse repair with mesh from 2001 to 2021

“…By keywords citation bursts analysis, the time-series showed that validation, lifetime risk, native tissue Frontiers in Bioengineering and Biotechnology frontiersin.org repair, tissue engineering and mesenchymal stem cells had appeared most recently. This result shows that clinical research is still the hot research topic of POP research, and prediction models and tissue engineering are research priority (Laursen et al, 2022;Oh et al, 2022;Zhang et al, 2022). In essence, overcoming mesh complications through increasing technical strategies is the core problem of pelvic floor reconstruction surgery.…”

Retracted: The Application of a Multidimensional Prediction Model in the Recurrence of Female Pelvic Organ Prolapse after Surgery

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Manipulated or compromised peer review …”

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”